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Power BI Overview and Features

Aug 22, 2025

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Overview

This lecture is a comprehensive course on Microsoft Power BI, covering data analytics concepts, Power BI features, hands-on data importing, cleaning, modeling, DAX calculations, optimization, report and dashboard creation, advanced analytics, and data security.

Introduction to Data Analytics & Power BI

  • Data analytics is the process of analyzing raw data to find trends and answer questions.
  • Four primary types of data analytics: descriptive, diagnostic, predictive, and prescriptive.
  • Data analysts provide real-time insights, connect to, transform, and visualize data.
  • Power BI has different licensing options: Free, Pro, Premium per user, and Premium per capacity.
  • Main Power BI components: Desktop application, Power BI Service (cloud), and Report Builder.

Getting Data into Power BI

  • Data can be imported from various sources: Excel, Access, web, databases.
  • Power BI Desktop interface consists of report, data, and model views.
  • Each data import creates a data set within Power BI.
  • Data can be loaded or transformed before importing.
  • Two Power BI Desktop file extensions: .pbix (default) and .pbit (template).

Data Transformation and Shaping

  • Data shaping involves renaming columns/tables, removing rows, setting the first row as headers, and adding new columns.
  • Power Query Editor is used for data transformation steps.
  • Columns can be filtered, sorted, and merged across tables using joins.
  • Profiling tools in Power Query Editor assess data quality, distribution, and statistics.

Data Modeling in Power BI

  • Data modeling ensures data accuracy and scalability.
  • Fact tables contain numeric data; dimension tables contain descriptive data.
  • Hierarchies group related fields for drill-down analysis.
  • Relationships between tables: one-to-one, one-to-many, many-to-many.
  • Row Level Security (RLS) restricts data access by user roles.

DAX Calculations & Advanced Analysis

  • DAX (Data Analysis Expressions) is Power BI's formula language for measures, columns, and tables.
  • Calculated tables/columns become part of the data set; measures are virtual calculations for visualization.
  • Time intelligence functions require a dedicated date table.
  • KPIs and forecasting can be visualized using built-in or custom visuals.
  • Variables in DAX improve performance, readability, and debugging of calculations.

Optimizing Model Performance

  • Import mode loads all data into Power BI; DirectQuery connects directly to source for real-time data.
  • Use DirectQuery for large/changing datasets.
  • Apply restrictive filters and limit visuals per report to optimize speed.
  • Analyze file size differences between import and DirectQuery approaches.

Designing Reports & Visualizations

  • Reports are built using various visuals: charts, tables, maps, KPIs, slicers.
  • Report formatting includes backgrounds, shadows, titles, and tooltips.
  • Sync slicers across pages for unified filtering.
  • Drillthrough and conditional formatting enhance interactivity and analysis.
  • Accessibility features: alt text, tab order, and themes.

Dashboards, Apps, and Advanced Service Features

  • Dashboards are created in Power BI Service by pinning report visuals.
  • Real-time dashboards use push datasets and Power Automate flows.
  • Enhancements include custom themes, videos, text, alerts, Q&A, and Quick Insights.
  • Apps bundle multiple dashboards/reports for distribution.
  • Usage metrics and mobile view are configurable for dashboards.

Paginated Reports

  • Paginated reports are designed for printing/exporting; require Power BI Report Builder and premium workspace.
  • They display all data across multiple pages and can be exported in various formats.
  • Configurable to repeat titles and headings across pages.

Managing Workspaces, Sharing, and Security

  • Workspaces organize Power BI content and control access with roles (admin, member, contributor, viewer).
  • Content can be shared via dashboards, reports, or apps.
  • Permissions and sharing settings are managed within the Service.

Data Set Management and Refresh

  • Parameters allow dynamic filtering and can be modified in Power BI Service.
  • Data set refresh can be on-demand or scheduled; local files cannot be scheduled for refresh in the Service.
  • Only cloud-stored files support scheduled refresh.

Key Terms & Definitions

  • DAX — Data Analysis Expressions, formula language for calculations in Power BI.
  • Fact Table — Contains numeric/measurable data for aggregation.
  • Dimension Table — Contains descriptive data used for slicing/dicing facts.
  • DirectQuery — Connection mode that queries the original data source in real-time.
  • Measure — Dynamic calculation evaluated in visuals, not stored in the data set.
  • Row Level Security (RLS) — Limits data access at the row level based on roles.

Action Items / Next Steps

  • Review and practice importing, transforming, and modeling data in Power BI Desktop.
  • Complete the final challenge: publish a report to a new workspace, apply a theme, and explore Quick Insights.
  • Download and reference supplemental materials and files as needed.
  • Prepare to use Power BI Service for dashboards, sharing, and parameter management.

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